How to read text data in HTML like format to Pandas dataframe?

I have the following sample data. I need to extract all fields between <NetworkPayeeAddManager> and </NetworkPayeeAddManager> or between <PayeeAddManager> and </PayeeAddManager> and save all information to Pandas DataFrame. I would expect the output dataframe has columns from first "TenantId" to last "AccountNumber" with values such as 13744, XX2222. What's the best way to do it?

OrderedDict([('_raw', '2021-11-08 08:58:23,832 [42] INFO  FiservLog.stdlog - 13744999176993878LogInfoSecure234NetworkPayee was added successfully<Timestamp>2021-11-08T13:58:23.831628ZF7E65ED4D8C74E6699C62F23ECF5D000200TWNQ9X1AA1754513234A6367FEE0611/8/2021 1:58:23 PM2461b5d9839a46739e9a3e918ca0681b-01Louisville fire brick
{"Address1":"Po 9229","Address2":null,"City":"Louisville","State":"KY","Zip5":"40209","Zip4":null,"Zip2":null}
UnManagedPayeeXX2222')])
OrderedDict([('_raw', '2021-11-08 08:58:24,783 [105] INFO  FiservLog.stdlog - DI737344801483 LogInfoSecure234Payee was added successfully2021-11-08T13:58:24.7831103Z7FC6442718864CE4838E50B026C8D0A0000TWNXSV1721BE0D804F295706DD39E11/8/2021 1:58:24 PMab33b59c-756e-4144-ad62-6f0afadbe8ebGail Nezworski
{"Address1":"2280 S 460 E","Address2":null,"City":"LaGrange","State":"IN","Zip5":"46761","Zip4":null,"Zip2":null}
UnManagedPayeeXXXXX1888')])